Data Mining and Constraint Programming Foundations of a Cross-Disciplinary Approach /

A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data minin...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Bessiere, Christian (Editor), De Raedt, Luc (Editor), Kotthoff, Lars (Editor), Nijssen, Siegfried (Editor), O'Sullivan, Barry (Editor), Pedreschi, Dino (Editor)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Lecture Notes in Artificial Intelligence, 10101
Subjects:
Artificial intelligence.
Application software.
Computer simulation.
Algorithms.
Database management.
Data mining.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Modelling.
Database Management.
Data Mining and Knowledge Discovery.
Online Access:Texto Completo
Table of Contents:
  • Introduction to Combinatorial Optimisation in Numberjack
  • Data Mining and Constraints: An Overview
  • New Approaches to Constraint Acquisition
  • ModelSeeker: Extracting Global Constraint Models from Positive Examples
  • Learning Constraint Satisfaction Problems: An ILP Perspective
  • Learning Modulo Theories
  • Algorithm Selection for Combinatorial Search Problems: A Survey
  • Adapting Consistency in Constraint Solving
  • Modeling in MiningZinc
  • Partition-Based Clustering Using Constraint Optimisation
  • The Inductive Constraint Programming Loop
  • ICON Loop Carpooling Show Case
  • ICON Loop Health Show Case
  • ICON Loop Energy Show Case.

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